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Discrete Mathematics & Theoretical Computer Science |
Michael H. Albert ; Marie-Louise Lackner ; Martin Lackner ; Vincent Vatter - The Complexity of Pattern Matching for $321$-Avoiding and Skew-Merged Permutations
dmtcs:1308 - Discrete Mathematics & Theoretical Computer Science, December 21, 2016, Vol. 18 no. 2, Permutation Patterns 2015 - https://doi.org/10.46298/dmtcs.1308The Complexity of Pattern Matching for $321$-Avoiding and Skew-Merged
PermutationsArticle
Authors: Michael H. Albert ; Marie-Louise Lackner ; Martin Lackner ; Vincent Vatter 
The Permutation Pattern Matching problem, asking whether a pattern permutation $\pi$ is contained in a permutation $\tau$, is known to be NP-complete. In this paper we present two polynomial time algorithms for special cases. The first algorithm is applicable if both $\pi$ and $\tau$ are $321$-avoiding; the second is applicable if $\pi$ and $\tau$ are skew-merged.
Both algorithms have a runtime of $O(kn)$, where $k$ is the length of $\pi$ and $n$ the length of $\tau$.
Source: arXiv.org:1510.06051
Volume: Vol. 18 no. 2, Permutation Patterns 2015
Section: Permutation Patterns
Published on: December 21, 2016
Imported on: December 21, 2016
Keywords: Mathematics - Combinatorics, Computer Science - Data Structures and Algorithms, 05A05, 68Q25
Funding:
- Source : OpenAIRE Graph
- Restricted labelled combinatorial objects; Code: P 25337
- The Structure of Permutation Classes; Funder: National Science Foundation; Code: 1301692
- Fixed-Parameter Tractability in Artificial Intelligence and Reasoning (FAIR); Funder: National Science Foundation; Code: P 25518
- Decodyn: Treating Hard Problems with Decomposition and Dynamic Programming; Funder: National Science Foundation; Code: Y 698
- Algorithms for Complex Collective Decisions on Structured Domains; Funder: European Commission; Code: 639945
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